
import re
from pathlib import Path
from unittest import TestCase

import pytest




@pytest.mark.integration
class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def   _lowerCamelCase							(   self						:List[Any]	,  a						:str		)						->					List[str]:

								with open(a	,  encoding="utf-8"		) as input_file:
															__UpperCamelCase      :  str       =   re.compile(r"(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)"		)
															__UpperCamelCase      :  str       =   input_file.read()
															__UpperCamelCase      :  Union[str, Any]       =   regexp.search(a		)

								return match







	def   _lowerCamelCase							(   self						:Optional[Any]	,  a						:str		)						->					List[str]:

								with open(a	,  encoding="utf-8"		) as input_file:
															__UpperCamelCase      :  Tuple       =   re.compile(r"#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()"	,  re.DOTALL		)
															__UpperCamelCase      :  List[Any]       =   input_file.read()
															# use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
															__UpperCamelCase      :  List[Any]       =   regexp.finditer(a		)

								__UpperCamelCase      :  Tuple       =   [match for match in matches if match is not None and match.group(1		) is not None]
								return matches[0] if matches else None







	def   _lowerCamelCase							(   self						:Dict		)						->					Dict:
								__UpperCamelCase      :  List[str]       =   Path("./datasets"		)
								__UpperCamelCase      :  List[str]       =   list(dataset_paths.absolute().glob("**/*.py"		)		)

								for dataset in dataset_files:
															if self._no_encoding_on_file_open(str(a		)		):
																						raise AssertionError(f'open(...) must use utf-8 encoding in {dataset}'		)







	def   _lowerCamelCase							(   self						:int		)						->					str:
								__UpperCamelCase      :  Dict       =   Path("./datasets"		)
								__UpperCamelCase      :  int       =   list(dataset_paths.absolute().glob("**/*.py"		)		)

								for dataset in dataset_files:
															if self._no_print_statements(str(a		)		):
																						raise AssertionError(f'print statement found in {dataset}. Use datasets.logger/logging instead.'		)

import warnings

from ...utils import logging
from .image_processing_perceiver import PerceiverImageProcessor


lowercase    :   List[str]						=			logging.get_logger(__name__)




class 					lowerCamelCase__				(							__lowercase):




	'''simple docstring'''




	def __init__(   self						:Dict	,  *a						:Tuple	,  **a						:List[Any]		)						->					None:
								warnings.warn(
								    "The class PerceiverFeatureExtractor is deprecated and will be removed in version 5 of Transformers."
								    " Please use PerceiverImageProcessor instead."	,  a	,  )
								super().__init__(*a	,  **a		)